| 1 |
Quality variable prediction for chemical processes based on semisupervised Dirichlet process mixture of Gaussians
Shao WM, Ge ZQ, Song ZH
Chemical Engineering Science, 193, 394, 2019 |
| 2 |
Particle Gaussian mixture filters-I
Raihan D, Chakravorty S
Automatica, 98, 331, 2018 |
| 3 |
Particle Gaussian mixture filters-II
Raihan D, Chakravorty S
Automatica, 98, 341, 2018 |
| 4 |
Two layered mixture Bayesian probabilistic PCA for dynamic process monitoring
Raveendran R, Huang B
Journal of Process Control, 57, 148, 2017 |
| 5 |
On estimating uncertainty of wind energy with mixture of distributions
Hu QH, Wang Y, Xie ZX, Zhu PF, Yu DR
Energy, 112, 935, 2016 |
| 6 |
Models to estimate the minimum ignition temperature of dusts and hybrid mixtures
Addai EK, Gabel D, Krause U
Journal of Hazardous Materials, 304, 73, 2016 |
| 7 |
Multiway continuous hidden Markov model-based approach for fault detection and diagnosis
Sen D, Raihan AVD, Chidambaram M
AIChE Journal, 60(6), 2035, 2014 |
| 8 |
A DISTRIBUTED CLASSIFICATION/ESTIMATION ALGORITHM FOR SENSOR NETWORKS
Fagnani F, Fosson SM, Ravazzi C
SIAM Journal on Control and Optimization, 52(1), 189, 2014 |
| 9 |
Density dependence of refractive index of nanoparticle-derived titania films on glass
Matthias A, Raicevic N, Tchana RD, Kip D, Deubener J
Thin Solid Films, 558, 86, 2014 |
| 10 |
Modeling and Performance Monitoring of Multivariate Multimodal Processes
Feital T, Kruger U, Dutra J, Pinto JC, Lima EL
AIChE Journal, 59(5), 1557, 2013 |
